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List of publications on a keyword: «генеративные нейросети»

  • Didakticheskii potentsial generativnykh neirosetei v proektirovanii uchebnykh materialov: ot avtomatizatsii k personalizatsii

    Conference Paper
    Digitalization in the education system: best practices and implementation practices
    Authors:
    Liudmila V. Shelekhova, Olga A. Rozaeva, Nina A. Zadaianchuk
    Work direction:
    Современные технологии обучения в условиях цифровой трансформации образования
    Abstract:
    В статье приведены теоретически обоснованные и экспериментально проверенные возможности использования технологий генеративного искусственного интеллекта (ИИ) для создания учебных материалов различного дидактического назначения (текстовые конспекты, задачи, тесты, кейсы). Выявлены и классифицированы типы дидактических ошибок при генерации материалов (фактические, логические, стилистические, структурные). Исследование базируется на системно-деятельностном и антропологическом подходах. Разработаны методические рекомендации для педагогов по конструированию промптов, которые могут быть внедрены в программы повышения квалификации и курсы педагогического дизайна.
    Keywords:
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  • Transformation of the Role of a Teacher of Socio-Humanitarian Disciplines in the Context of Digitalization of Education

    Research Article
    Development of education Volume 9 No 2
    Author:
    Irina V. Staroverova
    Work direction:
    Pedagogy and Modern Education
    Abstract:
    The article analyzes the changing role of the teacher of socio-humanitarian disciplines (SHD) in the context of the widespread adoption of generative artificial intelligence (AI) in the educational process. The aim of the study is to identify the directions of transformation of the professional position of the SHD teacher and to propose a model that enables the adaptation of the educational process to the new digital reality. It is shown that the traditional model of the teacher as the primary source of knowledge and an expert-controller no longer works when students have constant access to generative AI systems capable of producing coherent and outwardly persuasive responses. The “simulacrum effect” creates a particular vulnerability for SHDs: generative models can easily produce a passable philosophical or sociological essay without any genuine understanding of the content. The author argues that the new role of the SHD teacher involves shifting the focus from transmitting ready-made knowledge to teaching information literacy skills, including verification and prompt engineering. A three-level model of teacher role transformation is proposed: the methodological level (teaching verification and prompt engineering), the project-facilitation level (hybrid “human + AI” formats), and the ethical-reflexive level (defining the boundaries of acceptable AI use). A fourth, integrative level is also described, which is achieved upon mastering the previous three and involves the teacher transitioning to the role of academic mentor, guiding students through the research cycle of “generation – critique – reflection”. Based on practical experience, specific methods are described, such as the “three-layer essay” and “AI reviewer”, that enable the implementation of this model in the educational process. The proposed model transforms the teacher's role not toward competition with AI, but toward that of a mentor who cultivates critical thinking and research culture.
    Keywords:
    teacher, artificial intelligence, digitalization of education, critical thinking, ethics, generative neural networks, facilitation, social and humanitarian disciplines, teacher's role
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  • Ispol'zovanie II-assistentov v obuchenii angliiskomu iazyku

    Conference Paper
    Education, innovation, research as a resource for community development
    Authors:
    Gleb D. Logvinov, Aleksandr A. Choban, Inessa S. Kappusheva, Alena R. Novikova
    Work direction:
    Современные технологии в образовании
    Abstract:
    Статья посвящена интеграции ИИ-ассистентов (ChatGPT, Яндекс GPT, Bing Copilot и др.) в процесс обучения английскому языку. Рассматриваются конкретные сценарии использования, анализируется педагогическая эффективность, обсуждаются риски и предлагаются рекомендации по внедрению.
    Keywords:
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  • Ispol'zovanie tsifrovykh tekhnologii na baze iskusstvennogo intellekta na urokakh informatiki v nachal'noi i osnovnoi shkole (2-9 klassy): vozrastnaia periodizatsiia kak sistemoobrazuiushchii komponent metodiki

    Conference Paper
    Education, innovation, research as a resource for community development
    Authors:
    Ekaterina V. Rozhdestvenskaia, Ekaterina V. Samokhina, Liudmila D. Sitnikova
    Work direction:
    Образовательный процесс в организациях общего и дополнительного образования
    Abstract:
    В статье предлагается практико-ориентированная методика интеграции технологий искусственного интеллекта (ИИ) в курс информатики для обучающихся 2–9 классов. Системообразующим фактором выступает возрастная периодизация (2–4, 5–6, 7–9 классы), определяющая отбор типов учебных задач: от игрового сравнения «человек – ИИ» через обучение простых нейросетевых моделей с анализом ошибок к заданиям на верификацию генераций. Обоснованы ограничения, виды технологий (включая технологии на базе ИИ), классификация информации, конкретные инструменты (Google Lens, YandexGPT, Teachable Machine, генеративные нейросети для графики). Показано, как на каждом этапе формируется медиаграмотность.
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  • Tekhnologii mediabezopasnosti: metody protivodeistviia feik-kontentu v tsifrovykh media

    Book Chapter
    Development of the Russian socio-economic system: challenges and prospects
    Author:
    Natalia G. Mironova
    Work direction:
    Глава 14
    Abstract:
    Digital technologies make it possible to automate the processes of disinformation and information warfare, launch fakes promptly and on a large scale, organize information interventions to shift public attention from one information agenda to another, to conduct information and psychological operations, and to have a certain impact on the consciousness and behavior of target groups. Fakes circulate not only in pop media and propaganda channels, but also penetrate into journalism, educational content, and scientific discourse, not only as a subject of scientific research, but also as a result of falsification; the phenomenon of fake journalism and journalism that ignores the high standards and principles of the profession has emerged. In the dense flow of rapidly updating information, attentive perception is difficult, it is difficult to distinguish between truth and falsification, and to obtain reliable information about events; Society is under unprecedented pressure from digital media disinformation, undermining trust in social institutions and social communication channels. These circumstances actualize the issues of improving the methodology and tools for verifying information and recognizing fake content in online media. The purpose of the study is to analyze the signs of fake media content and improve methods of countering disinformation in the media space. Results: the goals and motives of fake creators and distributors, signs and technologies of digital content falsification are investigated, approaches to combating fakes and falsification of information in online media are analyzed, the effectiveness of various technologies for detecting fake content and countering its influence is assessed. The concept of a comprehensive system for countering fakes in the digital space is outlined. One of the conclusions of the study is that countering the influence of fake online media content is not limited to technical and regulatory solutions, since the mechanisms of this influence are socio-psychological; cognitive sciences can provide a methodology for effectively countering deception and manipulation. The study is aimed at media security specialists.
    Keywords:
    artificial intelligence, media security, Fake, deepfake, generative neural networks, neural network content detectors, methods of countering disinformation, and forensics
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